Ravi Kulkarni

444 total citations
12 papers, 247 citations indexed

About

Ravi Kulkarni is a scholar working on Clinical Psychology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ravi Kulkarni has authored 12 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Psychology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ravi Kulkarni's work include Mindfulness and Compassion Interventions (4 papers), Heart Rate Variability and Autonomic Control (3 papers) and COVID-19 and Mental Health (2 papers). Ravi Kulkarni is often cited by papers focused on Mindfulness and Compassion Interventions (4 papers), Heart Rate Variability and Autonomic Control (3 papers) and COVID-19 and Mental Health (2 papers). Ravi Kulkarni collaborates with scholars based in India, United States and Russia. Ravi Kulkarni's co-authors include Raghuram Nagarathna, V. I. Manʹko, F. Ventriglia, E. C. G. Sudarshan, G. Marmo, Paolo Facchi, Preeti Mulay, Dhanya Pramod, Hongasandra Ramarao Nagendra and HR Nagendra and has published in prestigious journals such as Physics Letters A, Frontiers in Psychiatry and Maturitas.

In The Last Decade

Ravi Kulkarni

12 papers receiving 231 citations

Peers

Ravi Kulkarni

CCM

CP

AMPO

AI

EDM

Debraj Das India

Camillo Cammarota Italy

Marina Fortes France

F. David Winter United States

Eun-Young Choi South Korea

Sarah Webb United States

Suptendra Nath Sarbadhikari India

Yunlong Wang China

Xinmeng Guo China

Alexander Engel Germany

Debraj Das India

Ravi Kulkarni

56 ×0.8

CCM

29 ×0.5

CP

13 ×0.3

AMPO

24 ×0.6

AI

38 ×1.7

EDM

Citations per year, relative to Ravi Kulkarni Ravi Kulkarni (= 1×) peers Debraj Das

Countries citing papers authored by Ravi Kulkarni

Since Specialization

Citations

This map shows the geographic impact of Ravi Kulkarni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ravi Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Kulkarni more than expected).

Fields of papers citing papers by Ravi Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ravi Kulkarni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ravi Kulkarni. The network helps show where Ravi Kulkarni may publish in the future.

Co-authorship network of co-authors of Ravi Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Kulkarni. A scholar is included among the top collaborators of Ravi Kulkarni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ravi Kulkarni. Ravi Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Nagarathna, Raghuram, Ravi Kulkarni, Akshay Anand, et al.. (2022). Coping Strategy, Life Style and Health Status During Phase 3 of Indian National Lockdown for COVID-19 Pandemic—A Pan-India Survey. Frontiers in Public Health. 10. 814328–814328. 3 indexed citations

2.

Nagarathna, Raghuram, Akshay Anand, Manjari Rain, et al.. (2021). Yoga Practice Is Beneficial for Maintaining Healthy Lifestyle and Endurance Under Restrictions and Stress Imposed by Lockdown During COVID-19 Pandemic. Frontiers in Psychiatry. 12. 613762–613762. 16 indexed citations

3.

Thepade, Sudeep D., et al.. (2020). AbhAS: A Novel Realistic Image Splicing Forensics Dataset. Journal of Applied Security Research. 17(1). 80–102. 3 indexed citations

4.

Mulay, Preeti, et al.. (2020). A Bibliometric Analysis of Digital Image Forensics. Science & Technology Libraries. 39(1). 96–113. 35 indexed citations

5.

Nagarathna, Raghuram, et al.. (2014). Yoga based cardiac rehabilitation after coronary artery bypass surgery: One-year results on LVEF, lipid profile and psychological states – A randomized controlled study. Indian Heart Journal. 66(5). 490–502. 55 indexed citations

6.

Sheorey, Pratima, et al.. (2014). Variety Seeking Behaviour as a Measure of Enduring Loyalty. Procedia - Social and Behavioral Sciences. 133. 255–264. 9 indexed citations

7.

Gangadhar, Bangalore N., et al.. (2010). Measuring the Tridosha Symptoms of Unmāda (Psychosis): A Preliminary Study. The Journal of Alternative and Complementary Medicine. 16(4). 457–462. 8 indexed citations

8.

Kulkarni, Ravi, et al.. (2010). The Effect of Trataka , a Yogic Visual Concentration Practice, on Critical Flicker Fusion. The Journal of Alternative and Complementary Medicine. 16(12). 1265–1267. 9 indexed citations

9.

Facchi, Paolo, Ravi Kulkarni, V. I. Manʹko, et al.. (2010). Classical and quantum Fisher information in the geometrical formulation of quantum mechanics. Physics Letters A. 374(48). 4801–4803. 57 indexed citations

10.

Kulkarni, Ravi, et al.. (2010). Measures of heart rate variability in women following a meditation technique. International Journal of Yoga. 3(1). 6–6. 25 indexed citations

11.

Kulkarni, Ravi, et al.. (2007). Factor analysis of Greene's Climacteric Scale for Indian women. Maturitas. 59(1). 22–27. 26 indexed citations

12.

Treinish, Lloyd A., et al.. (1993). Data models, structures and access software for scientific visualization. IEEE Visualization. 355–360. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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